Internship: Autonomous vehicle path planning and control design and experiments

Cambridge, Massachusetts, United States · ME · 1115 expand job description ↓


MERL is seeking a motivated and qualified individual to work with MERL staff on path planning and predictive control for autonomous vehicles. The candidate is expected to design, implement and test the algorithms in a multi-vehicle testbench with car-like robots. The candidate should have solid background in ROS, C++, and numerical algorithms. Previous experience of experimental work with robot testbenches (UGV, UAV, UUV) is highly desired. Background on model predictive control, sampling-based planning methods, and particle filtering is a plus. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 to 6 months, with potential of extension. Expected start of the position is December 2017-January 2017, but dates are flexible. The position is open to (experienced) Master students, holder of MSc, and PhD students.

Research Area: Mechatronics

Contact: Stefano Di Cairano

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Are you qualified to apply for an internship at MERL? Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
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